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Chapter 6: assessing applicability of medical test studies in systematic reviews.
Abstract
Use of medical tests should be guided by research evidence about the accuracy and
utility of those tests in clinical care settings. Systematic reviews of the literature
about medical tests must address applicability to real-world decision-making. Challenges
for reviews include: (1) lack of clarity in key questions about the intended applicability
of the review, (2) numerous studies in many populations and settings, (3) publications
that provide too little information to assess applicability, (4) secular trends in
prevalence and the spectrum of the condition for which the test is done, and (5) changes
in the technology of the test itself. We describe principles for crafting reviews
that meet these challenges and capture the key elements from the literature necessary
to understand applicability.
Type
Journal articleSubject
HumansDiagnostic Techniques and Procedures
Decision Making
Evidence-Based Medicine
Patient Selection
Abbreviations as Topic
Review Literature as Topic
Guidelines as Topic
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https://hdl.handle.net/10161/22834Published Version (Please cite this version)
10.1007/s11606-011-1961-9Publication Info
Hartmann, KE; Matchar, DB; & Chang, S (2012). Chapter 6: assessing applicability of medical test studies in systematic reviews.
Journal of general internal medicine, 27 Suppl 1(SUPPL.1). pp. S39-S46. 10.1007/s11606-011-1961-9. Retrieved from https://hdl.handle.net/10161/22834.This is constructed from limited available data and may be imprecise. To cite this
article, please review & use the official citation provided by the journal.
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Show full item recordScholars@Duke
David Bruce Matchar
Professor of Medicine
My research relates to clinical practice improvement - from the development of clinical
policies to their implementation in real world clinical settings. Most recently my
major content focus has been cerebrovascular disease. Other major clinical areas in
which I work include the range of disabling neurological conditions, cardiovascular
disease, and cancer prevention. Notable features of my work are: (1) reliance on
analytic strategies such as meta-analysis, simulation, decision analy

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